Benchmarking machine learning robustness in Covid-19 genome sequence classification
Abstract The rapid spread of the COVID-19 pandemic has resulted in an unprecedented amount of sequence data of the SARS-CoV-2 genome—millions of sequences and counting. This amount of data, while being orders of magnitude beyond the capacity of traditional approaches to understanding the diversity,...
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2023-03-01
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| Series: | Scientific Reports |
| Acceso en liña: | https://doi.org/10.1038/s41598-023-31368-3 |
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